CN113096247A - House and land integrated measurement method based on clustered fine three-dimensional model - Google Patents
House and land integrated measurement method based on clustered fine three-dimensional model Download PDFInfo
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Abstract
The invention provides a room and land integrated measurement method based on a clustered fine three-dimensional model, which is characterized by comprising the following steps of: distributing a plurality of image control points in a region to be detected, and collecting the plurality of image control points; planning a route of the unmanned aerial vehicle carrying the camera; controlling the unmanned aerial vehicle to carry out field aviation flight according to the planned air route of the unmanned aerial vehicle; shooting a picture of the area to be detected; clustering the photos of the area to be detected; reconstructing a refined three-dimensional model and generating an orthophoto map; and drawing a digital line drawing of the area to be measured according to the refined three-dimensional model and the orthophoto map. The house and ground integrated measuring method based on the clustered fine three-dimensional model can reduce personnel and cost investment, improve field collection efficiency and improve production efficiency of the fine model, and therefore the house and ground integrated overall work process is accelerated.
Description
Technical Field
The embodiment of the invention relates to the field of cadastral measurement, in particular to a house and land integrated measurement method based on a clustered fine three-dimensional model.
Background
At present, two methods are mainly used for house-ground integrated measurement, the first method is a conventional manual measurement mode, and field survey personnel acquire rural cadastre data by adopting a method of combining GPS-RTK and a total station. The method has the advantages of high precision of acquired data and accurate result. And secondly, an unmanned aerial vehicle oblique photogrammetry method is adopted, field workers acquire original photos of the survey area by using the unmanned aerial vehicle, and generate a three-dimensional model and an ortho-image through modeling software at the later stage, so that internal work interpretation and field painting are carried out, and the data of the room and the ground of the survey area are acquired. The method saves manpower, has high acquisition efficiency, avoids the problem of home-to-home measurement of a homestead by the unmanned aerial vehicle through non-contact measurement, can greatly shorten field collaborative operation, and converts a large amount of field work into field work.
The conventional manual measurement method is complex in work, high in professional requirement on an industrial measurement personnel, large in personnel requirement, high in household measurement difficulty, long in acquisition period and high in cost. The unmanned aerial vehicle oblique photography measurement method is low in modeling speed and cannot keep up with the field acquisition speed, so that the field interpretation period is delayed, and the overall project progress is influenced.
Disclosure of Invention
The invention provides a house and ground integrated measuring method based on a clustered fine three-dimensional model, which can reduce personnel and cost investment, improve field collection efficiency and improve production efficiency of the fine model, thereby accelerating the house and ground integrated overall work process.
In a first aspect of the present invention, an embodiment of the present invention provides a method for integrated measurement of a room and a ground based on a clustered fine three-dimensional model, including:
distributing a plurality of image control points in a region to be detected, and collecting the plurality of image control points;
planning a route of the unmanned aerial vehicle carrying the camera;
controlling the unmanned aerial vehicle to carry out field aviation flight according to the planned air route of the unmanned aerial vehicle;
shooting a picture of the area to be detected;
clustering the photos of the area to be detected;
reconstructing a refined three-dimensional model and generating an orthophoto map; and
and drawing a digital line drawing of the area to be measured according to the refined three-dimensional model and the orthophoto map.
In another embodiment of the present invention, the distributing a plurality of image control points in the region to be measured includes:
and under the condition that the area to be detected is a regular area, respectively arranging at least one image control point at four corner points of the area to be detected, and arranging image control points at other positions in the area to be detected according to a triangulation network.
In another embodiment of the present invention, the distributing a plurality of image control points in the region to be measured includes:
and under the condition that the area to be detected is an irregular area, uniformly and densely distributing the plurality of image control points in the area to be detected.
In another embodiment of the present invention, the image control points are cross targets or triangular targets.
In another embodiment of the present invention, the planning of the route of the drone carrying the camera includes:
planning the air route of the unmanned aerial vehicle according to the flying height, flying speed, course and side direction overlapping rate, ground resolution and the extended distance of the area to be measured of the unmanned aerial vehicle.
In another embodiment of the present invention, after the taking the picture of the area to be measured and before the clustering processing is performed on the picture of the area to be measured, the method further includes:
and acquiring pos data of the camera, and writing the pos data of the camera into the photo of the area to be detected.
In another embodiment of the present invention, after the taking the picture of the area to be measured and before the clustering processing is performed on the picture of the area to be measured, the method further includes:
and carrying out light and color homogenizing treatment on the photo of the area to be detected.
In another embodiment of the present invention, the reconstructing refines the three-dimensional model and produces an orthophotomap, including:
and performing picture preprocessing, image control point correction, space-three encryption and three-dimensional reconstruction operation on the pictures of the area to be detected after cluster processing, reconstructing the refined three-dimensional model and producing the orthophoto map.
In another embodiment of the present invention, the drawing a digital line drawing of the region to be measured according to the refined three-dimensional model and the orthophoto map includes:
and drawing a house plane diagram and cadastral elements of the area to be measured according to the refined three-dimensional model and the orthographic projection image so as to obtain a digital line drawing of the area to be measured.
In another embodiment of the present invention, after the drawing the digital line drawing of the region to be measured according to the refined three-dimensional model and the orthophoto map, the method further includes:
and executing field operation debugging and supplementary test to update the digit line drawing.
According to the integrated measuring method of the housing and the ground based on the clustered fine three-dimensional model, provided by the embodiment of the invention, a plurality of image control points are distributed in a region to be measured, and are collected; planning a route of the unmanned aerial vehicle carrying the camera; controlling the unmanned aerial vehicle to carry out field aviation flight according to the planned air route of the unmanned aerial vehicle; shooting a picture of the area to be detected; clustering the photos of the area to be detected; reconstructing a refined three-dimensional model and generating an orthophoto map; and drawing a digital line drawing of the area to be measured according to the refined three-dimensional model and the orthophoto map. According to the house and ground integrated measuring method based on the clustered fine three-dimensional model, clustered fine three-dimensional modeling is carried out according to data acquired by the unmanned aerial vehicle, rural house and ground information is acquired through internal work interpretation, the precision requirement of conventional manual measurement can be met, field operation personnel can be reduced, most of acquisition work is completed through internal work, field acquisition and internal work processing are carried out in batches, personnel and cost investment are reduced, and the house and ground integrated overall work process is accelerated. In addition, unmanned aerial vehicle carries on the camera and carries out the task, and preparation time is short, easy and simple to handle, can take off at any time, very big improvement field collection efficiency. Furthermore, the production efficiency of the refined model can be greatly improved through the server cluster arrangement.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief description will be given below of the drawings required for describing the embodiments or the prior art, and it is apparent that the drawings in the following description are some embodiments of the present invention, but not all embodiments. For a person skilled in the art, other figures can also be obtained from these figures without inventive exercise.
Fig. 1 is a schematic flow chart of a room-ground integration measuring method based on a clustered fine three-dimensional model according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an image control point according to an embodiment of the present invention.
Fig. 3 is a schematic view of an image control point according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Based on the problems in the prior art, the embodiment of the invention provides a room and ground integrated measurement method based on a clustered fine three-dimensional model, the clustered fine three-dimensional modeling is carried out according to data acquired by an unmanned aerial vehicle, rural room and ground information is acquired through internal work interpretation, the precision requirement of conventional manual measurement can be met, field operation personnel can be reduced, most of acquisition work is completed through internal work, field acquisition and field processing are carried out in batches, personnel and cost investment is reduced, and the room and ground integrated overall work process is accelerated.
Fig. 1 is a schematic flow chart of a room-ground integration measuring method based on a clustered fine three-dimensional model according to an embodiment of the present invention. The execution main body of the integrated measuring method of the house and the land based on the clustered fine three-dimensional model can be an integrated measuring system of the house and the land based on the clustered fine three-dimensional model. The integrated measuring system of the land based on the clustering fine three-dimensional model comprises an unmanned plane (such as a multi-rotor unmanned plane), a camera (such as a five-lens oblique camera) and an integrated measuring device of the land based on the clustering fine three-dimensional model. The integrated measuring device based on the clustered fine three-dimensional model can be implemented by means of software and/or hardware, wherein the hardware is a processor or an electronic device, and the software is computer program instructions or application programs. The integrated measuring device based on the clustered fine three-dimensional model can be a stand-alone electronic device, or the integrated measuring device based on the clustered fine three-dimensional model can be integrated in the electronic device. The electronic device is, for example, a computer.
As shown in fig. 1, the integrated measuring method of the housing and the ground based on the clustered fine three-dimensional model includes:
s101, distributing a plurality of image control points in a region to be detected, and collecting the plurality of image control points.
In one embodiment of the invention, the integrated measuring device of the house and the ground based on the clustered fine three-dimensional model finds the boundary of the rural area to be measured through the map client, demarcates the range of the area to be measured, and arranges a plurality of image control points on the map in advance. And then, exporting the kml file to field personnel according to the plurality of image control points which are well distributed. It should be noted that the layout of the image control points is generally performed before the unmanned aerial vehicle flies. Then, a Global positioning System-Real Time Kinematic (GPS-RTK) operation mode is used for collecting image control points.
In one embodiment of the invention, the cadastral measurement accuracy requirement is 1:500, the distance between two adjacent image control points is 80-120 m.
In an embodiment of the invention, the integrated measuring device of the house and the ground based on the clustered fine three-dimensional model can uniformly arrange the image control points according to the range of the area to be measured. It should be noted that the point location distribution of the multiple image control points distributed in the region to be measured should be uniform and three-dimensional, so as to avoid distributing several adjacent image control points in an approximately linear manner.
Furthermore, it is generally avoided to arrange the image control points at locations where the occlusion is severe, such as under the eaves, under trees, etc.
Further, the number of image control points arranged at positions with buildings having great height differences should be larger than the number of image control points arranged at positions with buildings having similar heights.
In an embodiment of the invention, the integrated measuring device of the house and the ground based on the clustered fine three-dimensional model can adopt a regular measuring region layout scheme to layout a plurality of image control points in a region to be measured. Specifically, under the condition that the region to be detected is a regular region, at least one image control point is respectively arranged at four angular points of the region to be detected, that is, it is ensured that the four angular points have the outermost periphery controlled by the image control points, then, the image control points can be strictly arranged according to the triangular mesh at other positions in the region to be detected, and it is ensured that the intervals between the adjacent three image control points are uniform.
In an embodiment of the invention, the integrated measuring device of the house and the ground based on the clustered fine three-dimensional model can adopt an irregular measuring region layout scheme to layout a plurality of image control points in a region to be measured. Specifically, under the condition that the area to be measured is an irregular area, a plurality of image control points are uniformly distributed in the area to be measured in an encrypted manner, so that the image control points among the peripheral connecting lines of the area to be measured cover the whole area to be measured as much as possible.
In one embodiment of the present invention, as shown in fig. 2, which is an image control point provided by one embodiment of the present invention, a cross target is preferably used as the image control point, and the cross target has a length of 80cm and a width of 3 cm.
In an embodiment of the present invention, as shown in fig. 3, which is an image control point provided in another embodiment of the present invention, a triangular target with a length of 70cm and a width of 40cm can also be used as the image control point.
In an embodiment of the invention, the integrated measuring device of the room and the ground based on the clustered fine three-dimensional model carries out multiple measurements on each image control point, and the results of the multiple measurements are averaged, so that the acquisition of the image control points is realized, and the measurement precision of the image control points can be ensured. For example, three measurements may be taken for each image control point.
In an embodiment of the invention, after each image control point is measured once, the integrated house-ground measuring device based on the clustered fine three-dimensional model disconnects RTK reconnection, and smoothes the measurement result of the pixel point, so as to ensure the acquisition precision of the image control point.
And S102, planning a route of the unmanned aerial vehicle carrying the camera.
In an embodiment of the present invention, the planning a route of the unmanned aerial vehicle carrying the camera includes:
planning the air route of the unmanned aerial vehicle according to the flying height, flying speed, course and side direction overlapping rate, ground resolution and the extended distance of the area to be measured of the unmanned aerial vehicle.
Specifically, the integrated measuring device of the room and the ground based on the clustered fine three-dimensional model realizes the planning of the unmanned aerial vehicle route by setting basic information such as the flight height, the flight speed, the course, the lateral overlapping rate, the ground resolution, the extended distance of the area to be measured and the like of the unmanned aerial vehicle (such as a multi-rotor unmanned aerial vehicle) carrying a camera (such as a five-lens oblique camera), and then submitting and storing the basic information, and the route planning is simple and convenient.
In an embodiment of the present invention, the unmanned aerial vehicle may be a majiang M300RTK multi-rotor unmanned aerial vehicle, the camera carried by the unmanned aerial vehicle may be a sier 102s five-lens tilt camera, the focal length of the camera is 35mm, and the resolution of the acquired photos is 6000px × 4000 px. It should be noted that other brands and models of drones and cameras may also be employed with the present invention.
In one embodiment of the invention, DJI Pilot is used for airline planning. The requirement of cadastral measurement accuracy is 1:500, the flying height can be set below 96m, thus ensuring ground resolution within 1.5cm and avoiding tall buildings and high voltage lines. Because the flying speed is too slow, the operation efficiency is low, the flying speed is too fast, the photographing interval is limited, the picture overlapping rate cannot be ensured, and the flying speed can be kept at 10-12 m/s. In addition, because the overlap ratio is large enough to achieve a good modeling effect, the course overlap ratio can be set to 80-85% and the side lap ratio can be set to 75-80%. Further, the outward expansion distance of the area to be measured can be set according to the flight height. It should be noted that at least one flight-height distance should be ensured to be extended, so that the outermost building facade of the area to be measured is complete.
It should be noted that before planning the flight path, dangerous buildings such as high-voltage lines, high-rise buildings, signal towers, tower cranes, etc. in the area to be measured should be carefully observed to avoid the dangerous buildings as much as possible when planning the flight path. If the dangerous buildings cannot be avoided, the height measurement in the air can be carried out by using a 4RTK unmanned aerial vehicle, and then the air route planning is carried out in different areas. In the course of planning the air route, plan the air route of unmanned aerial vehicle in the non-dangerous area according to the normal planning mode, and need heighten the air route of unmanned aerial vehicle in the dangerous area according to the result of height measurement to guarantee that there are more than 3 air routes coincided with the air route of unmanned aerial vehicle in the non-dangerous area. It should be noted that these coincident paths simply coincide in a planar position, but the altitudes are not the same.
S103, controlling the unmanned aerial vehicle to carry out field aviation flight according to the planned air route of the unmanned aerial vehicle.
In one embodiment of the invention, the integrated measuring device of the room and the ground based on the clustered fine three-dimensional model controls the unmanned aerial vehicle to execute the unmanned aerial vehicle flight mission to a proper takeoff field in the area to be measured according to a planned air route.
And S104, shooting a picture of the area to be measured.
In one embodiment of the invention, the photo of the area to be measured is taken by a camera carried by the unmanned aerial vehicle.
S105, clustering the acquired photos of the area to be detected.
The method adopts an unmanned aerial vehicle oblique photogrammetry method to carry out house-ground integrated measurement, the data of a small natural village photo usually has dozens of G, the data volume is very huge, the common computer is time-consuming and labor-consuming to process, and the backup cannot be carried out in time. The cluster photographic processing workstation is dozens of times of single-machine processing, can backup data at any time, and can reprocess the data at any time in the later period. Although many computer clusters are configured highly on the market, the processing capacity is low, and the cluster effect cannot be well exerted, so specialized cluster configuration is needed to fully exert the advantage of efficient processing of the computer clusters.
To this end, in one embodiment of the invention, the acquired photos of the area to be measured are clustered by a computer in the integrated-premises measuring device based on a clustered fine three-dimensional model.
Before clustering the acquired photos of the area to be measured, a clustering processing system needs to be constructed, wherein the process of constructing the clustering processing system comprises the following steps: early preparation, disk sharing operation and engineering construction.
The early preparation comprises the following steps: the aforementioned dell graphics workstations are purchased, all with the same memory size for the slaves of the cluster processing, preferably by uniform procurement. The fiber optic network is configured and all workstations are connected to the same local area network using a gigabit switch. All workstations are uniformly installed with the same version of operating system and model processing software.
The disk sharing operation comprises the following steps: non-system disks of the two servers are respectively subjected to disk sharing, preferably solid state disks, so that the best performance can be achieved. The network sharing function of all workstations is then turned on to enable the slaves to access the shared disk.
The engineering construction comprises the following steps: and entering a new project folder from the network shared disk, and creating project, photo folder photos and job path folder jobs of the new project folder. A Universal Naming Conversion (UNC) path in the cluster Master software engineering option is preferably set as a network shared disk path, a task sequence directory is set as a local path, and a task sequence path in the Center Settings software is set as a local path; the task sequence path in the cluster slave computer Settings software is set as the master network shared disk path.
Specifically, the host with the best performance (preferably as a server) is configured in a cluster, a non-system disk with a large memory is selected as a shared disk, and other computers in the group can access the path of the shared disk and assign a host engine path to the disk. The number of computers in a cluster is controlled within 20, and more than 20 computers can be limited by the number of connected computers.
In one embodiment of the present invention, for example, a dell graphics workstation may be selected for clustering, and servers with 256G and 128G memories may be selected as cluster hosts of two clusters, respectively. The 256G memory server serves as the cluster master for the larger village, and the 128G memory server serves as the cluster master for the smaller village. And preparing 50T cloud storage for house-ground integration project photo files and project data backup.
In an embodiment of the present invention, after the taking the picture of the area to be measured and before the clustering processing is performed on the picture of the area to be measured, the method further includes:
and acquiring pos data of the camera, and writing the pos data of the camera into the photo of the area to be detected.
Specifically, the room-ground integrated measuring device based on the clustered fine three-dimensional model acquires pos data of the camera, writes the pos data of the camera into a photo of the area to be measured, and copies the pos data of the camera into a computer in the room-ground integrated measuring device based on the clustered fine three-dimensional model.
The pos data of the camera mainly includes parameters such as Longitude and Latitude coordinates (Longitude, Latitude), elevation, and camera attitude angle (Yaw angle Yaw, Pitch angle Pitch, Roll angle) of the camera exposure point. The longitude and latitude coordinates and the elevation are used for determining the specific position of the exposure point, and the camera attitude angle parameter is used for correcting the position deviation caused by the camera shaking in the shooting process. The pos data of the camera is mainly applied to the air-to-three encryption processing process executed in the initial stage of rebuilding and refining the three-dimensional model, and the accuracy of the live-action three-dimensional model can be greatly improved.
In one embodiment of the invention, pos can be written to the photo of the area to be tested for export using the software of the sailor. Therefore, pos information does not need to be independently exported, and the steps of writing pos into the photos of the area to be measured are reduced. The software has the function of generating the engineering file, the engineering file comprises the picture index and the pos data, the modeling software can be directly imported, the photos of the area to be detected do not need to be manually added into the software, a large amount of basic work is reduced, and the data processing speed is improved.
In another embodiment of the present invention, other software may be used to export the photos of pos written to the area under test. The invention is not limited in this regard as long as the software can export a photograph of pos written to the area to be measured.
In an embodiment of the present invention, after the taking the picture of the area to be measured and before the clustering processing is performed on the picture of the area to be measured, the method further includes:
and carrying out light and color homogenizing treatment on the photo of the area to be detected.
Specifically, if the photos taken by the camera are named randomly, the photos taken by the camera of the area to be measured need to be renamed in batches for the convenience of subsequent processing.
In addition, due to problems such as light and shooting angle, the obtained picture of the region to be measured may have a poor picture. For this reason, these less effective photographs need to be pre-processed to optimize them. Specifically, the photographed picture is observed, and the light and color evening treatment is performed on the picture with poor effect. For example, a single photo is imported into drawing software, such as Photoshop software, an action button capable of performing light and color homogenizing processing on the photo is created, the processing process is recorded and stored, so that a light and color homogenizing processing control is formed, then the photo with poor effect is input into the drawing software in batch, and batch processing operation is performed on the photo with poor effect by using the light and color homogenizing processing control to complete photo optimization.
And S106, reconstructing the refined three-dimensional model and generating an orthophoto map.
In one embodiment of the present invention, the reconstructing the refined three-dimensional model and producing the orthophotomap includes:
and performing picture preprocessing, image control point correction, space-three encryption and three-dimensional reconstruction operation on the pictures of the area to be detected after cluster processing, reconstructing the refined three-dimensional model and producing the orthophoto map.
Specifically, the integrated measuring device of the house and the ground based on the clustered fine three-dimensional model utilizes three-dimensional model production software to perform the steps of picture preprocessing, image control point correction, space-three encryption, three-dimensional reconstruction and the like on the picture of the area to be measured, and the fine three-dimensional model reconstruction and the orthophoto image production work are completed.
In an embodiment of the invention, for mass production, the process before the null-three encryption can be completed on other computers in the group, the null-three result is derived and put on the cluster host to perform three-dimensional reconstruction, and the production efficiency of the model can be greatly improved.
In one embodiment of the invention, the pricking point error of the image control point of the region to be measured should be controlled within one pixel. And if the image control point of the region to be detected does not meet the requirement, reprocessing the image control point.
In one embodiment of the invention, the integrated room and ground measuring device based on the clustered fine three-dimensional model adopts Bentley ContextCapture model processing software to reconstruct the fine three-dimensional model and produce an orthophotograph. The specific operation is as follows:
(1) newly building a project: and (4) newly building a project on the cluster host, and opening Center Master software after the project path selects a network sharing path.
(2) Importing the picture of the region to be detected and pos data of the camera: and importing pictures of the area to be detected in the newly-built project, inputting camera parameters, and importing pos data. If the engineering file exported by the Sael navigation manager is used, the operation steps can be replaced by directly importing the engineering file into a new engineering.
(3) And (3) air-to-three treatment: an aerial triangulation process is submitted and the photo location data is used for accurate registration.
(4) Image control point correction: and importing an image control point file after the air triangulation processing is finished, marking image control points according to the positions of the image control points, correcting the positions of the image control points, submitting air triangulation processing again, and performing adjustment by using the control points. And (4) deriving a null-three report according to the null-three result after the adjustment is finished, checking null-three precision, and controlling the image control point pricking point error in one pixel. And if the image control point of the area to be detected does not meet the requirement, performing space-three processing on the image control point.
(5) Three-dimensional reconstruction: after the cluster host runs the empty three or leads in the empty three result, submitting a newly-built reconstruction project, selecting a correct coordinate system in a space frame, selecting a regular planar grid cutting block at the cutting position, and adjusting the size of a tile, so that the memory required by reconstruction is smaller than and close to the memory of a cluster slave, and simultaneously, enough memory space is reserved for system operation. Selecting a model production area according to the survey area kml, submitting a new production project, selecting a model type (for example, an osgb format under a 3D mesh option can be selected) and a coordinate system, opening the Center Engine of the cluster master after submitting production, opening all the planned Center engines of the cluster slave machines, and waiting for the production of the cluster three-dimensional model product.
(6) Orthophoto image production: after the three-dimensional reconstruction is completed, a new production project can be submitted on the basis, the ortho photo/DSM option is selected, the coordinate system which is the same as that of the three-dimensional model is selected, the Center Engine of the cluster host is opened after the production is submitted, the planned Center engines of the cluster slave machines are all opened, and the production of the forward projection image product of the cluster is waited.
It should be noted that the number of computers in each cluster is at most 20, and more than 20 computers may be limited by the number of connected computers, and even if the number of computers is increased, the number of engines is not increased.
And S107, drawing a digital line drawing of the area to be measured according to the refined three-dimensional model and the orthophoto map.
In an embodiment of the present invention, the drawing a digital line drawing of the region to be measured according to the refined three-dimensional model and the orthophoto map includes:
and drawing a house plane diagram and cadastral elements of the area to be measured according to the refined three-dimensional model and the orthographic projection image so as to obtain a digital line drawing of the area to be measured.
Specifically, the reconstructed refined three-dimensional model and the produced orthophoto map are respectively imported into acquisition software, a house plan view, cadastral elements and the like are drawn, and finally, the drawing of a digital line drawing of the area to be measured is completed.
Specifically, the collection software may be qinghuashan wei EPS software and southern CASS3D software. And converting the reconstructed refined three-dimensional model osgb file into a dsm file, adding the three-dimensional model into the right window through a loading inclined model function, adding the orthophoto map into the left window through a loading super-large image function, and drawing the three-dimensional model data into a two-dimensional line drawing according to the cadastral survey drawing rule of 1:500 through a double-window linkage function, so as to obtain a digital line drawing of the region to be measured.
In an embodiment of the present disclosure, after the drawing the digital line drawing of the region to be measured according to the refined three-dimensional model and the orthophoto map, the method further includes:
and executing field operation debugging and supplementary test to update the digit line drawing.
In an embodiment of the present application, for the reasons that trees are blocked, the structures of some houses are complex, and in the collected rural house and place data, the models corresponding to some houses are not clear, etc., field personnel are required to perform field investigation and supplementary survey with a total station to update the house information in the digital line drawing, so as to improve the accuracy of the digital line drawing.
According to the integrated measuring method of the housing and the ground based on the clustered fine three-dimensional model, provided by the embodiment of the invention, a plurality of image control points are distributed in a region to be measured, and are collected; planning a route of the unmanned aerial vehicle carrying the camera; controlling the unmanned aerial vehicle to carry out field aviation flight according to the planned air route of the unmanned aerial vehicle; shooting a picture of the area to be detected; clustering the photos of the area to be detected; reconstructing a refined three-dimensional model and generating an orthophoto map; and drawing a digital line drawing of the area to be measured according to the refined three-dimensional model and the orthophoto map. According to the house and ground integrated measuring method based on the clustered fine three-dimensional model, clustered fine three-dimensional modeling is carried out according to data acquired by the unmanned aerial vehicle, rural house and ground information is acquired through internal work interpretation, the precision requirement of conventional manual measurement can be met, field operation personnel can be reduced, most of acquisition work is completed through internal work, field acquisition and internal work processing are carried out in batches, personnel and cost investment are reduced, and the house and ground integrated overall work process is accelerated. In addition, unmanned aerial vehicle carries on the camera and carries out the task, and preparation time is short, easy and simple to handle, can take off at any time, very big improvement field collection efficiency. Furthermore, the production efficiency of the refined model can be greatly improved through the server cluster arrangement.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A room and land integrated measurement method based on a clustered fine three-dimensional model is characterized by comprising the following steps:
distributing a plurality of image control points in a region to be detected, and collecting the plurality of image control points;
planning a route of the unmanned aerial vehicle carrying the camera;
controlling the unmanned aerial vehicle to carry out field aviation flight according to the planned air route of the unmanned aerial vehicle;
shooting a picture of the area to be detected;
clustering the photos of the area to be detected;
reconstructing a refined three-dimensional model and generating an orthophoto map; and
and drawing a digital line drawing of the area to be measured according to the refined three-dimensional model and the orthophoto map.
2. The method of claim 1, wherein the laying out a plurality of image control points in the region to be measured comprises:
and under the condition that the area to be detected is a regular area, respectively arranging at least one image control point at four corner points of the area to be detected, and arranging image control points at other positions in the area to be detected according to a triangulation network.
3. The method of claim 1, wherein the laying out a plurality of image control points in the region to be measured comprises:
and under the condition that the area to be detected is an irregular area, uniformly and densely distributing the plurality of image control points in the area to be detected.
4. The method of any one of claims 1 to 3, wherein the image control points are cross targets or triangular targets.
5. The method of claim 1, wherein planning a route for a drone onboard a camera comprises:
planning the air route of the unmanned aerial vehicle according to the flying height, flying speed, course and side direction overlapping rate, ground resolution and the extended distance of the area to be measured of the unmanned aerial vehicle.
6. The method of claim 1, wherein after the taking the picture of the area to be measured and before the clustering the picture of the area to be measured, the method further comprises:
and acquiring pos data of the camera, and writing the pos data of the camera into the photo of the area to be detected.
7. The method of claim 1, wherein after the taking the picture of the area to be measured and before the clustering the picture of the area to be measured, the method further comprises:
and carrying out light and color homogenizing treatment on the photo of the area to be detected.
8. The method of claim 1, wherein the reconstructing the refined three-dimensional model and producing the orthophotomap comprises:
and performing picture preprocessing, image control point correction, space-three encryption and three-dimensional reconstruction operation on the pictures of the area to be detected after cluster processing, reconstructing the refined three-dimensional model and producing the orthophoto map.
9. The method of claim 1, wherein the drawing a digital line drawing of the region under test from the refined three-dimensional model and the orthophoto map comprises:
and drawing a house plane diagram and cadastral elements of the area to be measured according to the refined three-dimensional model and the orthographic projection image so as to obtain a digital line drawing of the area to be measured.
10. The method of claim 1, wherein after said plotting the digital line map of the region under test from the refined three-dimensional model and the orthophotomap, the method further comprises:
and executing field operation debugging and supplementary test to update the digit line drawing.
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